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contributor authorChen Yao;Fan Linzi;Feng Jian
date accessioned2019-02-26T07:40:20Z
date available2019-02-26T07:40:20Z
date issued2018
identifier other%28ASCE%29CP.1943-5487.0000743.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4248623
description abstractSymmetry analysis is common and important, and the involved symmetry is in general self evident or manually recognized. However, for a structure with high-order symmetry or complex geometry, it becomes very difficult to perform manual recognition. Even though some symmetry properties are detected, the others might be undetected. Thus, computer-aided recognition methods are preferred. Here, the authors proposed an automatic symmetry recognition approach for engineering structures with either cubic or dihedral symmetries. It took only nodal coordinates and connectivity patterns of members as input. Without assuming any prior symmetries, the configuration can be expressed in an arbitrary three-dimensional (3D) coordinate system. Then, on the basis of matrix representations of five types of symmetry operations, equivalence of the geometric configuration of a structure was evaluated. Hence, the inherent symmetry can be identified, with all the unshifted components and feasible symmetry axes and planes detected in succession. Illustrative examples show that the proposed approach can accurately and effectively recognize the symmetries of various engineering structures.
publisherAmerican Society of Civil Engineers
titleAutomatic and Exact Symmetry Recognition of Structures Exhibiting High-Order Symmetries
typeJournal Paper
journal volume32
journal issue2
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/(ASCE)CP.1943-5487.0000743
page4018002
treeJournal of Computing in Civil Engineering:;2018:;Volume ( 032 ):;issue: 002
contenttypeFulltext


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